Embedded Modules for Speaker Classification

Michael Feld

In: Proceedings of the Second IEEE International Conference on Semantic Computing 2008 (ICSC 2008). IEEE International Conference on Semantic Computing (ICSC-08) August 4-7 Santa Clara CA United States Seiten 370-377 IEEE Computer Society 8/2008.


Classifying speakers and their context is a research topic that increasingly finds its way into market-ready products. This paper describes how a speech-based classification problem can be split into components that are then combined in a classification module, which can be compiled for a specific platform and scenario with its respective technical requirements and limitations. We are focusing on the AGENDER Speaker Classification approach to show how a theoretic model can be transformed into a finished Embedded Module and present a tool that facilitates this in a fully automated build process.

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence